Evidence map›Paper›PMID 30395177›Full record

ArticleAmerican journal of clinical pathology2019

Breast Cancers With Magee Equation Score of Less Than 18, or 18-25 and Mitosis Score of 1, Do Not Require Oncotype DX Testing: A Value Study.

Rohit Bhargava, Beth Z Clark, David J Dabbs

Abstract read
In one paragraph

Article in American journal of clinical pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  12. Concordance between results of inexpensive statistical models and multigene signatures in patients with ER+/HER2- early breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  13. Article
  14. Magee Equations™ and response to neoadjuvant chemotherapy in ER+/HER2-negative breast cancer: a multi-institutional study.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
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  15. Article
  16. The healthcare value of the Magee Decision Algorithm™: use of Magee Equations™ and mitosis score to safely forgo molecular testing in breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rohit BhargavaDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA.
Beth Z ClarkDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA.
David J DabbsDepartment of Pathology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate use of Magee equations (MEs) to determine which breast cancer cases can be excluded from Oncotype DX testing. Methods: A prospective value study was carried out using data from pathology reports. Results: If all three MEs scores were less than 18 or 31 or higher, the cases were labeled do not send for testing. If any or all scores were 18 to 25, cases were labeled do not send if mitosis score was 1. Of the total 205 cases, 146 (71%) were labeled do not send; of these, the correct call was made in 143 (98%) cases. Two of the three discordant cases had associated nontumor factors, likely resulting in higher scores. Conclusions: Cases with ME scores less than 18, or 18 to 25 and mitosis score 1, do not require Oncotype DX testing, an estimated saving of US$280,000 per 100 clinical requests.

Indexed as

Breast NeoplasmsDiagnostic Tests, RoutineFemaleGene Expression ProfilingHumansMitosisProspective Studies

Identifiers

PMID30395177
PMCPMC6360636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.